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A.4.5.39 ArrayQuantile Form

The ArrayQuantile form (), available from the XYArray Layer Control, displays a quantile or quantile range for a set of plotted X/Y array pairs. If a table contains one spectrum per row in array-valued wavelength and flux columns, this plotter can be used to display a median of all the spectra, or a range between two quantiles. Smoothing options are available to even out noise arising from the pixel binning.

For each row, the X Values and Y Values arrays must be the same length as each other, but this plot type does not (unlike StatMark and StatLine) require the arrays to be sampled into the same bins for each row.

The algorithm calculates quantiles for all the X,Y points plotted in each column of pixels. This means that more densely sampled spectra have more influence on the output than sparser ones.

Note: In the current implementation, depending on the details of the configuration and the data, there may be some distortions or missing graphics near the edges of the plot. This may be improved in future releases, depending on feedback.

Example ArrayQuantile plot

Example ArrayQuantile plot

ArrayQuantile form configuration panel

ArrayQuantile form configuration panel

The configuration options are:

Transparency
Transparency with which components are plotted, from opaque to invisible.
Quantiles
Defines the quantile or quantile range of values that should be marked in each pixel column (or row). The slider control goes from 0 (minimum in pixel column/row) to 1 (maximum in pixel column/row), so 0.5 indicates the median. This control is a double-slider, so you can drag out a range of values. If the values are the same as each other, a single point will be indicated, but if there is a range then the area between the indicated quantiles will be filled.

The radio buttons let you toggle between using the slider to set the quantile value(s) or entering them in the text fields. If the two values are identical, you can leave the second text field blank.

Thickness
Sets the minimum extent of the markers that are plotted in each pixel column (or row) to indicate the designated value range. If the range is zero sized (two bounding quantiles are equal) this will give the actual thickness of the plotted line. If the range is non-zero however, the line may be thicker than this in places according to the quantile positions.
Smoothing
Configures the smoothing width. This is the characteristic width of the Kernel function to be convolved with the density in one dimension to smooth the quantile function.

You can adjust it using the slider (wider smoothing to the right) or enter a value in data coordinates explicitly in the text field. If the smoothed axis is logarithmic, the value is a multiplication factor rather than an additive increment.

Kernel
The functional form of the smoothing kernel. The functions listed refer to the unscaled shape; all kernels are normalised to give a total area of unity.

The available options are:

Join Mode
Defines the graphical style for connecting distinct quantile values. If smoothed samples are packed more closely than the pixel grid the option chosen here doesn't make much difference, but if there are gaps in the data along the sampled axis, it's useful to have a guide to the eye to join one quantile determination to the next.

The available options are:

Horizontal
Determines whether the trace bins are horizontal or vertical. If true, y quantiles are calculated for each pixel column, and if false, x quantiles are calculated for each pixel row.


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TOPCAT - Tool for OPerations on Catalogues And Tables
Starlink User Note253
TOPCAT web page: http://www.starlink.ac.uk/topcat/
Author email: m.b.taylor@bristol.ac.uk
Mailing list: topcat-user@jiscmail.ac.uk